This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1513) JMIR Theme Issue: COVID-19 Special Issue (2439) Infectious Diseases (non-STD/STI) (1555) Outbreak and Pandemic Preparedness and Management (1714) Statistical Methods for Surveillance and Population Health (155)

Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23624, first published .
An Epidemiological Model Considering Isolation to Predict COVID-19 Trends in Tokyo, Japan: Numerical Analysis

An Epidemiological Model Considering Isolation to Predict COVID-19 Trends in Tokyo, Japan: Numerical Analysis

An Epidemiological Model Considering Isolation to Predict COVID-19 Trends in Tokyo, Japan: Numerical Analysis

Authors of this article:

Motoaki Utamura1 Author Orcid Image ;   Makoto Koizumi2 Author Orcid Image ;   Seiichi Kirikami3 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Journals

  1. Utamura M, Koizumi M, Kirikami S. Novel deterministic epidemic model considering mass vaccination and lockdown against coronavirus disease 2019 spread in Israel: a numerical study. Biology Methods and Protocols 2022;7(1) View
  2. Koizumi M, Utamura M, Kirikami S. Infection spread simulation technology in a mixed state of multi variant viruses. AIMS Public Health 2021;9(1):17 View
  3. Qi L, Yang L, Ge J, Yu L, Li X. COVID-19 Vaccination Behavior of People Living with HIV: The Mediating Role of Perceived Risk and Vaccination Intention. Vaccines 2021;9(11):1288 View
  4. Boaventura V, Grave M, Cerqueira-Silva T, Carreiro R, Pinheiro A, Coutinho A, Barral Netto M. Syndromic Surveillance Using Structured Telehealth Data: Case Study of the First Wave of COVID-19 in Brazil. JMIR Public Health and Surveillance 2023;9:e40036 View
  5. Pellegrinelli L, Luconi E, Marano G, Galli C, Delbue S, Bubba L, Binda S, Castaldi S, Biganzoli E, Pariani E, Boracchi P. A Flexible Regression Modeling Approach Applied to Observational Laboratory Virological Data Suggests That SARS-CoV-2 Load in Upper Respiratory Tract Samples Changes with COVID-19 Epidemiology. Viruses 2023;15(10):1988 View
  6. Chen L, Wang L, Xing Y, Xie J, Su B, Geng M, Ren X, Zhang Y, Liu J, Ma T, Chen M, Miller J, Dong Y, Song Y, Ma J, Sawyer S. Persistence and Variation of the Indirect Effects of COVID-19 Restrictions on the Spectrum of Notifiable Infectious Diseases in China: Analysis of National Surveillance Among Children and Adolescents From 2018 to 2021. JMIR Public Health and Surveillance 2024;10:e47626 View